Abstract
At present, the commonly used microscopic video signal coding methods have poor processing ability and low coding accuracy. Therefore, this paper proposes a new micro video coding method based on machine learning technology. Firstly, the video coding processing architecture is established by intra prediction, inter prediction, transformation, quantization, entropy coding and loop filtering, and then the coding processing is realized by image segmentation, intra prediction and inter prediction, and the depth decision method is used for depth analysis. The experimental results show that this method can effectively improve the processing ability of microscopic video signal coding, and at the same time enhance the coding accuracy.
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Funding
National Natural Science Foundation of China: The Key Technologies about Fast Coding and Quality Controlling of Fractal Image Compression (61961036).
Basic Ability Improvement Project for Young and Middle-aged Teachers in Guangxi: Research on 3D Terrain Rendering for Large Scene Oblique Photography (2020KY17019).
Natural Science Foundation of Guangxi:Research on the Key Technologies about Decoder for Reliable Transmission of HEVC for Microscopic Video (2020JJA170007).
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Gong, Hx., He, J. (2022). Research on Coding Method of Microscopic Video Signal Based on Machine Learning. In: Liu, S., Ma, X. (eds) Advanced Hybrid Information Processing. ADHIP 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 417. Springer, Cham. https://doi.org/10.1007/978-3-030-94554-1_10
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DOI: https://doi.org/10.1007/978-3-030-94554-1_10
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